蛋白质组和磷蛋白质组在小鼠组织和脑区的转换图谱，这一成果由圣犹达儿童研究医院研究团队经过不懈努力而取得。相关论文于2025年3月20日发表在《细胞》杂志上。

研究人员展示了一种名为“周转率- ppt”的综合电阻，绘制了8个非主题组织和不同大脑区域中11,000个蛋白质和40,000个磷酸基的丰度和寿命，主题是先进的蛋白质组学和稳定同位素标记。该团队揭示了组织特异性的短寿命和长寿命蛋白质，相互作用蛋白质寿命之间的强相关性，以及磷酸化对蛋白质周转的独特影响。值得注意的是，该研究团队发现了特定组织中过氧化物酶体蛋白的显著转换变化模式，磷酸化调节神经变性相关蛋白（如Tau和α-突触核蛋白）的稳定性。他们，翻转ppt提供了蛋白质稳定性，组织动态蛋白质类型和功能性蛋白质磷酸化的基本见解，并可通过交互式网络门户网站https://yslproteomics.shinyapps.io/tissuePPT访问。

据悉，了解不同哺乳动物组织中的蛋白质是如何被调节的是生物学的核心。蛋白质丰度、周转率和翻译后修饰（如磷酸化）是决定组织特异性蛋白质组特性的关键因素。然而，这些特性在跨组织研究中具有挑战性，并且仍然知之甚少。

附：英文原文

Title: Turnover atlas of proteome and phosphoproteome across mouse tissues and brain regions

Author: Wenxue Li, Abhijit Dasgupta, Ka Yang, Shisheng Wang, Nisha Hemandhar-Kumar, Surendhar R. Chepyala, Jay M. Yarbro, Zhenyi Hu, Barbora Salovska, Eugenio F. Fornasiero, Junmin Peng, Yansheng Liu

Issue&Volume: 2025-03-20

Abstract: Understanding how proteins in different mammalian tissues are regulated is central to biology. Protein abundance, turnover, and post-translational modifications such as phosphorylation are key factors that determine tissue-specific proteome properties. However, these properties are challenging to study across tissues and remain poorly understood. Here, we present Turnover-PPT, a comprehensive resource mapping the abundance and lifetime of 11,000 proteins and 40,000 phosphosites in eight mouse tissues and various brain regions using advanced proteomics and stable isotope labeling. We reveal tissue-specific short- and long-lived proteins, strong correlations between interacting protein lifetimes, and distinct impacts of phosphorylation on protein turnover. Notably, we discover a remarkable pattern of turnover changes for peroxisome proteins in specific tissues and that phosphorylation regulates the stability of neurodegeneration-related proteins, such as Tau and α-synuclein. Thus, Turnover-PPT provides fundamental insights into protein stability, tissue dynamic proteotypes, and functional protein phosphorylation and is accessible via an interactive web-based portal at https://yslproteomics.shinyapps.io/tissuePPT.

DOI: 10.1016/j.cell.2025.02.021

Source: https://www.cell.com/cell/abstract/S0092-8674(25)00209-0